ISLAB/CAISR - User contributions [en]

Stefan Karlsson/PersonalPage

2016-11-04T07:49:30Z

StefanK:

Welcome to the personal pages of Stefan M. Karlsson.

[[File:Stefan.jpg|200px|thumb|Stefan Karlsson, PhD in image analysis/computer vision]]

Contents here are building up.

- [[Media:TutorialOpticalFlowPart1_v1.053_VIincluded_release.zip| Open Source Tutorial for real-time optical flow]] V:1.053(October, 2016).
This is for Matlab 2010a or later(verified on 2016a).
1) runMe.m, (use arrow keys to interact)
2) OpticalFlowTutorialPart1.pdf.
It is part 1 of a planned series of 3, where we start with local methods, and will build ourselves upward.

- [[Media:OpenSourceVidProcessing.zip| Open Source for real-time optical flow calculation]] V:0.92b(March 24th, 2013).
This is for Matlab 2010a or later. Precompiled binaries are available for 32bit and 64bit windows, and 64bit MAC/unix/linux. For other systems, use the "make.m" utility in folder "c-code".

- [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/MotionAnalysis Motion Analysis, optical flow]

- [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/MotionStimulus Motion Stimulus, aka artwork with spiral motions]

- [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/ArticularyDynamics Visual Articulary analysis by optical flow]

Small guide on how to setup: [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/OpenCV OpenCV 2.4.3, 64 bit, TBB support with MS visual studio 2010]

Microsoft Visual Studio Macros for [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/mex_VS_tutorial Matlab mex interfacing with video tutorial]

= [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education Education]=

File:TutorialOpticalFlowPart1 v1.053 VIincluded release.zip

2016-10-23T09:30:57Z

StefanK:

Stefan Karlsson

2016-10-23T08:42:11Z

StefanK:

{{Person
|Family Name=Karlsson
|Given Name=Stefan
|Title=PhD
|Position=Postdoctoral Researcher
|Email=stefan.karlsson987(at)gmail.com
|Image=StefanFormal.jpg
|Affiliation=PylonX robotics
|Subject=Image and Signal Analysis
}}
{{AssignProjects
|project=Lip Biometrics for Speech and Speaker recognition
}}
{{AssignSubjectAreas
|SubjectArea=Signal Analysis
}}
{{AssignSubjectAreas
|SubjectArea=Learning Systems
}}
__NOTOC__
{{ShowPerson}}
== Projects and Personal Pages ==
* [[Stefan_Karlsson/PersonalPage|Personal Page]]
* [[Stefan_Karlsson/PersonalPage/ArticularyDynamics|Visual Articulary analysis by optical flow]]


{{InsertSubjAreas}}

[[http://islab.hh.se/mediawiki/images/e/eb/ThesisKarlsson2small.pdf Thesis]]
{{PublicationsList}}

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-12T13:08:31Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the official university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach us at Stefan.Karlsson(AHTT)hh.se or feralo(AHTT)hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. [[Media:MultiScaleApproaches.pdf|Linear scale space]] (Stefan) -1 WEEK

- Waveletets (Gabor, Mexican Hat)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- [[Media:MultiDimE1.zip|ONE PRACTICAL ASSIGNMENT ON THIS]]

2. Directionality analysis (Fernando) -1 WEEK

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK

- Segmentation, clustering

- Feature extraction, pattern matching and classification

- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK

- SIFT

- Viola-Jones

- Perona-Malik

- FINAL PROJECT ASSIGNMENT

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-12T13:07:23Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the official university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach us at Stefan.Karlsson(AHTT)hh.se or feralo(AHTT)hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. [[Media:MultiScaleApproaches.pdf|Linear scale space]] (Stefan) -1 WEEK

- Waveletets (Gabor, Haar)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- [[Media:MultiDimE1.zip|ONE PRACTICAL ASSIGNMENT ON THIS]]

2. Directionality analysis (Fernando) -1 WEEK

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK

- Segmentation, clustering

- Feature extraction, pattern matching and classification

- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK

- SIFT

- Viola-Jones

- Perona-Malik

- FINAL PROJECT ASSIGNMENT

File:MultiScaleApproaches.pdf

2014-11-12T13:06:02Z

StefanK:

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-12T05:10:57Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the official university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach us at Stefan.Karlsson(AHTT)hh.se or feralo(AHTT)hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. Linear scale space (Stefan) -1 WEEK

- Waveletets (Gabor, Haar)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- [[Media:MultiDimE1.zip|ONE PRACTICAL ASSIGNMENT ON THIS]]

2. Directionality analysis (Fernando) -1 WEEK

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK

- Segmentation, clustering

- Feature extraction, pattern matching and classification

- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK

- SIFT

- Viola-Jones

- Perona-Malik

- FINAL PROJECT ASSIGNMENT

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-12T05:05:38Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. Linear scale space (Stefan) -1 WEEK

- Waveletets (Gabor, Haar)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- [[Media:MultiDimE1.zip|ONE PRACTICAL ASSIGNMENT ON THIS]]

2. Directionality analysis (Fernando) -1 WEEK

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK

- Segmentation, clustering

- Feature extraction, pattern matching and classification

- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK

- SIFT

- Viola-Jones

- Perona-Malik

- FINAL PROJECT ASSIGNMENT

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-12T05:04:33Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. Linear scale space (Stefan) -1 WEEK

- Waveletets (Gabor, Haar)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- ONE PRACTICAL ASSIGNMENT ON THIS
MultiDimE1.zip

2. Directionality analysis (Fernando) -1 WEEK

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK

- Segmentation, clustering

- Feature extraction, pattern matching and classification

- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK

- SIFT

- Viola-Jones

- Perona-Malik

- FINAL PROJECT ASSIGNMENT

File:MultiDimE1.zip

2014-11-12T05:03:53Z

StefanK:

Stefan Karlsson/PersonalPage/Education

2014-11-12T04:53:39Z

StefanK:

[http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Efficient_Matlab Efficient Matlab]

[http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/CV Computer Vision 3D]

[http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications Matlab with Applications(Matlab med tillämpningar)]

[http://islab.hh.se/mediawiki/Stefan_Karlsson/PersonalPage/Education/MultiScaleCourse Multi Scale and Multi Dimensional Analysis]

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-11T10:42:39Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. Linear scale space (Stefan) -1 WEEK

- Waveletets (Gabor, Haar)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- ONE PRACTICAL ASSIGNMENT ON THIS

2. Directionality analysis (Fernando) -1 WEEK

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK

- Segmentation, clustering

- Feature extraction, pattern matching and classification

- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK

- SIFT

- Viola-Jones

- Perona-Malik

- FINAL PROJECT ASSIGNMENT

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-11T10:41:47Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. Linear scale space (Stefan) -1 WEEK – Starting 3 November

- Waveletets (Gabor, Haar)

- Pyramids (Gaussian, Laplacian, etc.)

- Median filtering

- ONE PRACTICAL ASSIGNMENT ON THIS

2. Directionality analysis (Fernando) -1 WEEK – Starting 10 November

- Structure tensor, HOGs, Gabor

- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK – Starting 17 November

- Variational formulations

- Non-linear filtering

- De-noising

- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK – Starting 1 December
- Segmentation, clustering
- Feature extraction, pattern matching and classification
- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK – 15 December
- SIFT
- Viola-Jones
- Perona-Malik
- FINAL PROJECT ASSIGNMENT

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-11T10:41:06Z

StefanK:

This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
No news yet

===Course organization===
There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.

=Exercises and sessions(files will be made available shortly)=
1. Linear scale space (Stefan) -1 WEEK – Starting 3 November
- Waveletets (Gabor, Haar)
- Pyramids (Gaussian, Laplacian, etc.)
- Median filtering
- ONE PRACTICAL ASSIGNMENT ON THIS

2. Directionality analysis (Fernando) -1 WEEK – Starting 10 November
- Structure tensor, HOGs, Gabor
- Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK – Starting 17 November
- Variational formulations
- Non-linear filtering
- De-noising
- ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK – Starting 1 December
- Segmentation, clustering
- Feature extraction, pattern matching and classification
- ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK – 15 December
- SIFT
- Viola-Jones
- Perona-Malik
- FINAL PROJECT ASSIGNMENT

Stefan Karlsson/PersonalPage/Education/MultiScaleCourse

2014-11-11T10:34:58Z

StefanK: Created page with "This is the web page for the course Matlab with Applications (Matlab med tillämpningar). Find the course description [http://www.hh.se/sitevision/proxy/utbildning/sokkursplan..."

This is the web page for the course Matlab with Applications (Matlab med tillämpningar). Find the course description [http://www.hh.se/sitevision/proxy/utbildning/sokkursplan.4677.html/svid12_70cf2e49129168da015800074301/752680950/se_proxy/utb_kursplan.asp?kurskod=MA4024&revisionsnr=1&format=pdf here], and the schedule for the course [https://se.timeedit.net/web/hh/db1/schema/ri167816X20Z03Q5Z06g6Y90y0086Y08Q09gQY5Q55767.html here].

This course is given at one quarter speed, as lectures/practical excercises in the afternoons. The exercises will be available on this page that will update regularly.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
'''20 February'''

from exercise 5 onwards, I am forced to revert to the old material from previous years. There simply isnt resources and time enough to make new material for the entire course.

In these old formats of exercises, there is some conflicting information on deadlines. The information on the webpage and in readme.txt file is the valid one.

'''20 February'''
CLARIFICATION: You will have the oppurtunity to hand in twice for each exercise. Only twice, so LOOK CAREFULLY AT THE PDF. THERE ARE INSTRUCTIONS ON HOW TO HAND IN!

'''20 February'''
Extension of deadline for task 2 with one day. New deadline 21st of February, 12 am

'''17 February'''
Exercise 3 is updated!

It had a missing section in it, which is now fixed. There were some typos I fixed while at it, and I put some new hints in the document as well. Task no 3 is now optional, if you aim for a grade 4 on this exercise.

'''28 January'''

Exercise 2 has a Matlab version issue. Check out the description below

===Course organization===
There will be one new exercise made available to you for every session. For each exercise there are several tasks for you to perform (2-4). These are to be handed in to me, instructions on how to hand them in are available in the provided pdf, and '''WILL NOT''' be done through blackboard. No communication is to be done through blackboard in this course.

There will be a total of 10-11 exercises in this course. Your will be graded for each exercise.

You may work in groups of 2, not more.

There is a deadline of 2 weeks for the tasks of each exercise. Exercises are graded as "Passed"(3), "Passed with distinction"(4) or "not passed" (0). If a deadline is missed for an exercise, you will have to resubmit late, which limits the max grade to (3), and will affect your overal course grade.

In the second part of the course (period 2) you will start on a small project. This project can have any grade in the range (1 to 6). There will be more details on the exact content of this project.

The final grade of the course is set with an algorithm you can download [[Media:WhatsMyGradeMA4024_2014.zip‎|here]].

===Compulsory elements/attendance===
Handing in tasks and project on time are the only compulsory elements of the course. Physical presence on any lecture/exercise is '''not compulsory'''

=Exercises=
== Introduction meeting ==
Start reading the [[Media:E1MA4024.pdf|the first exercise]] in preparation. Get all files need for Exercise 1 [[Media:E1MA4024.zip| here]].

During the first introduction meeting, I will briefly explain the outline of the course, and how you will be graded and what is expected of you. This should take no more than 30 minutes, after that we will get started with exercise 1 during the remainder of the introduction meeting.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e1 Excercise 1, Vectors and Functions ]==
Deadline to submit your tasks: 12am(24.00 hrs) on 13th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e2 Excercise 2, Matrices, program flow and sound of music]==
Deadline to submit your tasks: 12am(24.00 hrs) NEW DEADLINE: 21th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e3 Excercise 3, Matrices and Handles]==
Deadline to submit your tasks: 12am(24.00 hrs) on 27th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e4 Excercise 4, Fuzzy logic and Callbacks]==
Deadline to submit your tasks: 12am(24.00 hrs) on 6th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e5 Excercise 5, Linear Systems]==
Deadline to submit your tasks: 12am(24.00 hrs) on 13th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e6 Excercise 6, interpolation, curve fitting, integrals and differential equations]==
Deadline to submit your tasks: 12am(24.00 hrs) on 20th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e7 Excercise 7, Vectorization, timing and Debugging]==
Deadline to submit your tasks: 12am(24.00 hrs) on 10th of April.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e8 Excercise 8, Graphical User Interface (GUI)]==
Deadline to submit your tasks: 12am(24.00 hrs) on 28th of April.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e9 Excercise 9, Symbolic vs. Numerical Programming]==
Deadline to submit your tasks: 12am(24.00 hrs) on 26th of May.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e10 Excercise 10, Simulink]==
Deadline to submit your tasks: 12am(24.00 hrs) on 3rd of June.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/Project, Project]==
Deadline to submit your tasks: End of course, 27th of June.

File:Laboration 3.zip

2014-10-17T06:42:40Z

StefanK:

Stefan Karlsson/PersonalPage/FaceMouse

2014-10-03T21:04:01Z

StefanK:

Motion estimation by Optical Flow holds great promise for human machine interaction, gesture recognition and much more. Achieving high quality motion estimation in real-time is a topic of great interest. Current work has lead to the formulation of the interactive "squiggle". The below video clip is an implementation in matlab. It requires reasonably fast frame-rates (say 15 frames per second for good results, the video is at 30 frames per sec). The speed of computations enables it to run at over 100 frames per second with no real demands on the hardware(the thumbnail is quite bad, please click the video for it to start):

== Meet the squiggle ==

[[File:FaceMouseMona.ogv‎|600px]]
and an uncostrained version (perhaps more fun to play with):
[[File:TestingSquiggly.ogv‎|600px]]

The algorithm is easily parallizeable, and is stable for larger motions. Currently it runs on a pyramid of two level to somewhat deal with larger motions.

Implementation on handheld devices is a promising future application.

The speed of computations can handle well over 100 frames per seconds(at resolution 256 x 256) in the current matlab implementation on a mid-range laptop (using the built in cam of the dell latitude). The frame rate does not need to be nearly as fast as that though, but 15 frames per second is recommendable. Somewhat optimized c-code version (aggresive optimization flags and using openMP) is much faster.

Stefan Karlsson/PersonalPage/FaceMouse

2014-10-01T20:26:14Z

StefanK: Created page with "Motion estimation by Optical Flow holds great promise for human machine interaction, gesture recognition and much more. Achieving high quality motion estimation in real-time i..."

Motion estimation by Optical Flow holds great promise for human machine interaction, gesture recognition and much more. Achieving high quality motion estimation in real-time is a topic of great interest. Current work has lead to the formulation of the interactive "squiggle". The below video clip is an implementation in matlab. It requires reasonably fast frame-rates (say 15 frames per second for good results, the video is at 30 frames per sec). The speed of computations enables it to run at over 100 frames per second with no real demands on the hardware(the thumbnail is quite bad, please click the video for it to start):

== Meet the squiggle ==

[[File:TestingSquiggly2.ogv‎|600px]]
and an uncostrained version (perhaps more fun to play with):
[[File:TestingSquiggly.ogv‎|600px]]

The algorithm is easily parallizeable, and is stable for larger motions. Currently it runs on a pyramid of two level to somewhat deal with larger motions.

Implementation on handheld devices is a promising future application.

The speed of computations can handle well over 100 frames per seconds(at resolution 256 x 256) in the current matlab implementation on a mid-range laptop (using the built in cam of the dell latitude). The frame rate does not need to be nearly as fast as that though, but 15 frames per second is recommendable. Somewhat optimized c-code version (aggresive optimization flags and using openMP) is much faster.

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/Project,

2014-07-10T09:04:45Z

StefanK:

= Project =

Deadline to submit your project: 12am(24.00 hrs) on 27th of June (The end of the course).

Note: if you have an idea for a project that does not strictly fit below description, pitch it to me, and I may accept it, or modify it slightly to be acceptable for you.

=Requirements for project=

- GUI, with minimum one axes object, and a few pushbuttons

- Callback functions for mouse and keypressess on the keyboard

=== The project should include at least one of the following topics: ===

- Handle mouse clicks in the axes, using a callback function.

- Display animation in the axes

- Display and manipulate 3D objects in the axes

The best thing for you to do is to think up your own project, that suits your interests and study goals. Whatever you think up, ask me about it first. All projects has to be approved before you start them.

= Possible projects: =
== (standard) Graphical calculator ==
with a lot of functionalities...
== (standard) Hanging man game ==
Make a word guessing game, where letters have to be guessed in the word. For every wrong guess of a letter, another detail of a “hanging man” is drawn. When the hanging man is fully drawn, the player looses, and a small animation is displayed of the dead guy swinging from the gallows.

== (ambitious) A roulette game. ==
The game should keep track of the amount of money a user has, and he could bet that money on a number. The axes object could display a simple animation of a ball circling, and finally showing the resulting number of the roulette table.
== (ambitious)Shooter game ==
The program could have balls and other objects bouncing around inside the axes object with some defined speed and behaviour. Use the mouse cursor to shoot them down. Keep track of how many are shot down, how fast, and what accuracy the user has( this can made in 3D as well, if you want to have some real fun and higher grade).

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/Project,

2014-07-10T09:04:15Z

StefanK:

= Project =

Deadline to submit your project: 12am(24.00 hrs) on 27th of June (The end of the course).

Note: if you have an idea for a project that does not strictly fit below description, pitch it to me, and I may accept it, or modify it slightly to be acceptable for you.

=Requirements for project=

- GUI, with minimum one axes object, and a few pushbuttons

- Callback functions for mouse and keypressess on the keyboard

The project should include at least one of the following topics:

- Handle mouse clicks in the axes, using a callback function.

- Display animation in the axes

- Display and manipulate 3D objects in the axes

The best thing for you to do is to think up your own project, that suits your interests and study goals. Whatever you think up, ask me about it first. All projects has to be approved before you start them.

= Possible projects =
== (standard) Graphical calculator ==
with a lot of functionalities...
== (standard) Hanging man game ==
Make a word guessing game, where letters have to be guessed in the word. For every wrong guess of a letter, another detail of a “hanging man” is drawn. When the hanging man is fully drawn, the player looses, and a small animation is displayed of the dead guy swinging from the gallows.

== (ambitious) A roulette game. ==
The game should keep track of the amount of money a user has, and he could bet that money on a number. The axes object could display a simple animation of a ball circling, and finally showing the resulting number of the roulette table.
== (ambitious)Shooter game ==
The program could have balls and other objects bouncing around inside the axes object with some defined speed and behaviour. Use the mouse cursor to shoot them down. Keep track of how many are shot down, how fast, and what accuracy the user has( this can made in 3D as well, if you want to have some real fun and higher grade).

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/Project,

2014-07-10T09:03:29Z

StefanK:

= Project =

Deadline to submit your project: 12am(24.00 hrs) on 27th of June (The end of the course).

Note: if you have an idea for a project that does not strictly fit below description, pitch it to me, and I may accept it, or modify it slightly to be acceptable for you.

=Requirements for project=

- GUI, with minimum one axes object, and a few pushbuttons

- Callback functions for mouse and keypressess on the keyboard

The project should include at least one of the following topics:
- Handle mouse clicks in the axes, using a callback function.
- Display animation in the axes
- Display and manipulate 3D objects in the axes

The best thing for you to do is to think up your own project, that suits your interests and study goals. Whatever you think up, ask me about it first. All projects has to be approved before you start them.

= Possible projects =
== (standard) Graphical calculator ==
with a lot of functionalities...
== (standard) Hanging man game ==
Make a word guessing game, where letters have to be guessed in the word. For every wrong guess of a letter, another detail of a “hanging man” is drawn. When the hanging man is fully drawn, the player looses, and a small animation is displayed of the dead guy swinging from the gallows.

== (ambitious) A roulette game. ==
The game should keep track of the amount of money a user has, and he could bet that money on a number. The axes object could display a simple animation of a ball circling, and finally showing the resulting number of the roulette table.
== (ambitious)Shooter game ==
The program could have balls and other objects bouncing around inside the axes object with some defined speed and behaviour. Use the mouse cursor to shoot them down. Keep track of how many are shot down, how fast, and what accuracy the user has( this can made in 3D as well, if you want to have some real fun and higher grade).

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/Project,

2014-07-10T08:57:40Z

StefanK: Created page with "=Requirements for project= Note: if you have an idea for a project that does not strictly fit below description, pitch it to me, and I may accept it, or modify it slightly t..."

=Requirements for project=

Note: if you have an idea for a project that does not strictly fit below description, pitch it to me, and I may accept it, or modify it slightly to be acceptable for you.

== Description ==
GUI, with minimum one axes object, and a few pushbuttons Callback functions for mouse and keypressess on the keyboard The project should include at least one of the following topics: o Handle mouse clicks in the axes, using a callback function o Display animation in the axes o Display and manipulate 3D objects in the axes The best thing for you to do is to think up your own project, that suits your interests and study goals. Whatever you think up, ask me about it first. All projects has to be approved before you start them. Here are some possibilities: Possible projects: - (standard) Graphical calculator, with a lot of functionalities. - (standard) Hanging man game. Make a word guessing game, where letters have to be guessed in the word. For every wrong guess of a letter, another detail of a “hanging man” is drawn. When the hanging man is fully drawn, the player looses, and a small animation is displayed of the dead guy swinging from the gallows. - (ambitious) A roulette game. The game should keep track of the amount of money a user has, and he could bet that money on a number. The axes object could display a simple animation of a ball circling, and finally showing the resulting number of the roulette table. - (ambitious)Shooter game. The program could have balls and other objects bouncing around inside the axes object with some defined speed and behaviour. Use the mouse cursor to shoot them down. Keep track of how many are shot down, how fast, and what accuracy the user has( this can made in 3D as well, if you want to have some real fun).

Stefan Karlsson/PersonalPage/Education/Matlab With Applications

2014-07-10T08:55:50Z

StefanK:

Stefan Karlsson/PersonalPage/Education/Matlab With Applications

2014-07-10T08:54:57Z

StefanK:

This is the web page for the course Matlab with Applications (Matlab med tillämpningar). Find the course description [http://www.hh.se/sitevision/proxy/utbildning/sokkursplan.4677.html/svid12_70cf2e49129168da015800074301/752680950/se_proxy/utb_kursplan.asp?kurskod=MA4024&revisionsnr=1&format=pdf here], and the schedule for the course [https://se.timeedit.net/web/hh/db1/schema/ri167816X20Z03Q5Z06g6Y90y0086Y08Q09gQY5Q55767.html here].

This course is given at one quarter speed, as lectures/practical excercises in the afternoons. The exercises will be available on this page that will update regularly.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
'''20 February'''

from exercise 5 onwards, I am forced to revert to the old material from previous years. There simply isnt resources and time enough to make new material for the entire course.

In these old formats of exercises, there is some conflicting information on deadlines. The information on the webpage and in readme.txt file is the valid one.

'''20 February'''
CLARIFICATION: You will have the oppurtunity to hand in twice for each exercise. Only twice, so LOOK CAREFULLY AT THE PDF. THERE ARE INSTRUCTIONS ON HOW TO HAND IN!

'''20 February'''
Extension of deadline for task 2 with one day. New deadline 21st of February, 12 am

'''17 February'''
Exercise 3 is updated!

It had a missing section in it, which is now fixed. There were some typos I fixed while at it, and I put some new hints in the document as well. Task no 3 is now optional, if you aim for a grade 4 on this exercise.

'''28 January'''

Exercise 2 has a Matlab version issue. Check out the description below

===Course organization===
There will be one new exercise made available to you for every session. For each exercise there are several tasks for you to perform (2-4). These are to be handed in to me, instructions on how to hand them in are available in the provided pdf, and '''WILL NOT''' be done through blackboard. No communication is to be done through blackboard in this course.

There will be a total of 10-11 exercises in this course. Your will be graded for each exercise.

You may work in groups of 2, not more.

There is a deadline of 2 weeks for the tasks of each exercise. Exercises are graded as "Passed"(3), "Passed with distinction"(4) or "not passed" (0). If a deadline is missed for an exercise, you will have to resubmit late, which limits the max grade to (3), and will affect your overal course grade.

In the second part of the course (period 2) you will start on a small project. This project can have any grade in the range (1 to 6). There will be more details on the exact content of this project.

The final grade of the course is set with an algorithm you can download [[Media:WhatsMyGradeMA4024_2014.zip‎|here]].

===Compulsory elements/attendance===
Handing in tasks and project on time are the only compulsory elements of the course. Physical presence on any lecture/exercise is '''not compulsory'''

=Exercises=
== Introduction meeting ==
Start reading the [[Media:E1MA4024.pdf|the first exercise]] in preparation. Get all files need for Exercise 1 [[Media:E1MA4024.zip| here]].

During the first introduction meeting, I will briefly explain the outline of the course, and how you will be graded and what is expected of you. This should take no more than 30 minutes, after that we will get started with exercise 1 during the remainder of the introduction meeting.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e1 Excercise 1, Vectors and Functions ]==
Deadline to submit your tasks: 12am(24.00 hrs) on 13th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e2 Excercise 2, Matrices, program flow and sound of music]==
Deadline to submit your tasks: 12am(24.00 hrs) NEW DEADLINE: 21th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e3 Excercise 3, Matrices and Handles]==
Deadline to submit your tasks: 12am(24.00 hrs) on 27th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e4 Excercise 4, Fuzzy logic and Callbacks]==
Deadline to submit your tasks: 12am(24.00 hrs) on 6th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e5 Excercise 5, Linear Systems]==
Deadline to submit your tasks: 12am(24.00 hrs) on 13th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e6 Excercise 6, interpolation, curve fitting, integrals and differential equations]==
Deadline to submit your tasks: 12am(24.00 hrs) on 20th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e7 Excercise 7, Vectorization, timing and Debugging]==
Deadline to submit your tasks: 12am(24.00 hrs) on 10th of April.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e8 Excercise 8, Graphical User Interface (GUI)]==
Deadline to submit your tasks: 12am(24.00 hrs) on 28th of April.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e9 Excercise 9, Symbolic vs. Numerical Programming]==
Deadline to submit your tasks: 12am(24.00 hrs) on 26th of May.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e10 Excercise 10, Simulink]==
Deadline to submit your tasks: 12am(24.00 hrs) on 3rd of June.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/Project]==
Deadline to submit your tasks: End of course, 27th of June.

Stefan Karlsson/PersonalPage/Education/Matlab With Applications

2014-05-14T21:21:49Z

StefanK:

Stefan Karlsson/PersonalPage/Education/Matlab With Applications

2014-05-14T21:18:38Z

StefanK:

This is the web page for the course Matlab with Applications (Matlab med tillämpningar). Find the course description [http://www.hh.se/sitevision/proxy/utbildning/sokkursplan.4677.html/svid12_70cf2e49129168da015800074301/752680950/se_proxy/utb_kursplan.asp?kurskod=MA4024&revisionsnr=1&format=pdf here], and the schedule for the course [https://se.timeedit.net/web/hh/db1/schema/ri167816X20Z03Q5Z06g6Y90y0086Y08Q09gQY5Q55767.html here].

This course is given at one quarter speed, as lectures/practical excercises in the afternoons. The exercises will be available on this page that will update regularly.

Reach me at Stefan.Karlsson@hh.se for any questions.

===News===
'''20 February'''

from exercise 5 onwards, I am forced to revert to the old material from previous years. There simply isnt resources and time enough to make new material for the entire course.

In these old formats of exercises, there is some conflicting information on deadlines. The information on the webpage and in readme.txt file is the valid one.

'''20 February'''
CLARIFICATION: You will have the oppurtunity to hand in twice for each exercise. Only twice, so LOOK CAREFULLY AT THE PDF. THERE ARE INSTRUCTIONS ON HOW TO HAND IN!

'''20 February'''
Extension of deadline for task 2 with one day. New deadline 21st of February, 12 am

'''17 February'''
Exercise 3 is updated!

It had a missing section in it, which is now fixed. There were some typos I fixed while at it, and I put some new hints in the document as well. Task no 3 is now optional, if you aim for a grade 4 on this exercise.

'''28 January'''

Exercise 2 has a Matlab version issue. Check out the description below

===Course organization===
There will be one new exercise made available to you for every session. For each exercise there are several tasks for you to perform (2-4). These are to be handed in to me, instructions on how to hand them in are available in the provided pdf, and '''WILL NOT''' be done through blackboard. No communication is to be done through blackboard in this course.

There will be a total of 10-11 exercises in this course. Your will be graded for each exercise.

You may work in groups of 2, not more.

There is a deadline of 2 weeks for the tasks of each exercise. Exercises are graded as "Passed"(3), "Passed with distinction"(4) or "not passed" (0). If a deadline is missed for an exercise, you will have to resubmit late, which limits the max grade to (3), and will affect your overal course grade.

In the second part of the course (period 2) you will start on a small project. This project can have any grade in the range (1 to 6). There will be more details on the exact content of this project.

The final grade of the course is set with an algorithm you can download [[Media:WhatsMyGradeMA4024_2014.zip‎|here]].

===Compulsory elements/attendance===
Handing in tasks and project on time are the only compulsory elements of the course. Physical presence on any lecture/exercise is '''not compulsory'''

=Exercises=
== Introduction meeting ==
Start reading the [[Media:E1MA4024.pdf|the first exercise]] in preparation. Get all files need for Exercise 1 [[Media:E1MA4024.zip| here]].

During the first introduction meeting, I will briefly explain the outline of the course, and how you will be graded and what is expected of you. This should take no more than 30 minutes, after that we will get started with exercise 1 during the remainder of the introduction meeting.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e1 Excercise 1, Vectors and Functions ]==
Deadline to submit your tasks: 12am(24.00 hrs) on 13th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e2 Excercise 2, Matrices, program flow and sound of music]==
Deadline to submit your tasks: 12am(24.00 hrs) NEW DEADLINE: 21th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e3 Excercise 3, Matrices and Handles]==
Deadline to submit your tasks: 12am(24.00 hrs) on 27th of february.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e4 Excercise 4, Fuzzy logic and Callbacks]==
Deadline to submit your tasks: 12am(24.00 hrs) on 6th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e5 Excercise 5, Linear Systems]==
Deadline to submit your tasks: 12am(24.00 hrs) on 13th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e6 Excercise 6, interpolation, curve fitting, integrals and differential equations]==
Deadline to submit your tasks: 12am(24.00 hrs) on 20th of March.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e7 Excercise 7, Vectorization, timing and Debugging]==
Deadline to submit your tasks: 12am(24.00 hrs) on 10th of April.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e8 Excercise 8, Graphical User Interface (GUI)]==
Deadline to submit your tasks: 12am(24.00 hrs) on 28th of April.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e9 Excercise 9, Symbolic vs. Numerical Programming]==
Deadline to submit your tasks: 12am(24.00 hrs) on 26th of May.

== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e9 Excercise 10, Simulink]==
Deadline to submit your tasks: 12am(24.00 hrs) on 3rd of June.

File:E10MA4024.zip

2014-05-14T21:17:07Z

StefanK:

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/e10

2014-05-14T21:11:58Z

StefanK: Created page with "= Excercise 10, Simulink = All files needed in a zip file here Deadline to submit your tasks: 12am(24.00 hrs) on 3rd of June."

= Excercise 10, Simulink =

All files needed in a zip file [[Media:E10MA4024.zip|here]]

Deadline to submit your tasks: 12am(24.00 hrs) on 3rd of June.

Stefan Karlsson/PersonalPage/Education/Matlab With Applications

2014-05-12T16:47:06Z

StefanK:

File:E9MA4024.zip

2014-05-12T16:45:08Z

StefanK:

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/e9

2014-05-12T16:30:45Z

StefanK: Created page with "= Excercise 9, Symbolic vs. Numerical Programming = All files needed in a zip file here Deadline to submit your tasks: 12am(24.00 hrs) on 26th of May."

= Excercise 9, Symbolic vs. Numerical Programming =

All files needed in a zip file [[Media:E9MA4024.zip|here]]

Deadline to submit your tasks: 12am(24.00 hrs) on 26th of May.

Stefan Karlsson/PersonalPage/Education/Matlab With Applications/e8

2014-05-08T16:14:00Z

StefanK: Created page with "= Excercise 8, Graphical User Interfaces = All files needed in a zip file here Deadline to submit your tasks: 12am(24.00 hrs) on 28th of April. === ..."

= Excercise 8, Graphical User Interfaces =

All files needed in a zip file [[Media:E8MA4024.zip|here]]

Deadline to submit your tasks: 12am(24.00 hrs) on 28th of April.

=== FAQs===
- ''When i copy paste certain code parts into matlab from the pdf, it doesnt work!''

There are some problems copying from pdf files in general. There might be odd line breaks and weird characters appearing from nowhere. For this reason, I supplied scripts for the bigger code parts of the pdf. The best way to solve this issue if you find problems is to open a text editor, paste the code in there first, see that it is the same as it appears in the pdf(modify it otherwise), and paste the result into matlab.

Stefan Karlsson/PersonalPage/Education/Matlab With Applications

2014-05-08T16:12:55Z

StefanK:

File:E8MA4024.zip

2014-05-08T16:01:05Z

StefanK:

Stefan Karlsson/PersonalPage/Education/Matlab With ApplicationsV2

2014-04-28T07:10:05Z

StefanK:

Stefan Karlsson/PersonalPage/Education/Matlab With ApplicationsV2

2014-04-28T07:05:57Z